Practice Integration and Use Cases - 13.5 | 13. Big Data Technologies (Hadoop, Spark) | Data Science Advance
K12 Students

Academics

AI-Powered learning for Grades 8–12, aligned with major Indian and international curricula.

Academics
Professionals

Professional Courses

Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.

Professional Courses
Games

Interactive Games

Fun, engaging games to boost memory, math fluency, typing speed, and English skillsβ€”perfect for learners of all ages.

games

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

When is Hadoop typically used?

πŸ’‘ Hint: Think of its role in handling big data.

Question 2

Easy

What is Apache Spark best known for?

πŸ’‘ Hint: Recall its focus on speed.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What is the primary advantage of using Hadoop?

  • Real-time processing
  • Cost-effective batch processing
  • In-memory processing

πŸ’‘ Hint: Recall its main features.

Question 2

True or False: Spark can only process data in batch mode.

  • True
  • False

πŸ’‘ Hint: Think of Spark's versatility.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a scenario where a company could effectively use both Hadoop and Spark to improve their data processing pipeline.

πŸ’‘ Hint: Consider how archiving and analytics can work together.

Question 2

Compare the performance implications when using Hadoop for real-time data processing versus using Spark for the same task.

πŸ’‘ Hint: Think about the strengths of each technology in processing speed.

Challenge and get performance evaluation